用固定拓扑网格实现实时物理仿真，兼顾渲染质量与计算效率。
Real-Time Physics Simulation with Dynamic Mesh-Gaussian Reconstructions
- 双表示框架：物理用固定拓扑网格，渲染用高保真高斯点云。
- 相比可变拓扑方法提速4.65倍，通过动态顶点缓冲更新实现。
- 拓扑转换导致几何退化65%-80%，无法弥补重建与物理需求的矛盾。
将动态3D重建融入物理仿真需固定网格拓扑以实现高效碰撞检测，但当前先进方法如DG-Mesh采用变化拓扑以优化几何质量。本文探究拓扑转换能否在保持重建精度的同时支持物理集成。提出一种双表示框架，结合固定拓扑网格用于物理计算，高斯点云用于渲染，在DG-Mesh数据集上相较可变拓扑基线实现4.65倍加速，通过运行时顶点缓冲更新达成。评估两种转换策略——时间对应追踪与模板投影——与原生固定拓扑方法（MaGS）对比，结果表明两者均导致65%-80%几何退化，性能劣于MaGS，尽管DG-Mesh初始质量更优。这说明高质量重建与物理兼容拓扑本质上是冲突目标，无法通过后处理调和。研究为未来物理感知重建方法提供指导，本框架亦支持任意固定拓扑方法的实时仿真。
原文摘要 · Abstract (English)
Integrating dynamic 3D reconstructions into physics simulation requires fixed mesh topology for efficient collision detection, but state-of-the-art methods like DG-Mesh produce varying topology optimized for geometric quality. We investigate whether topology conversion can enable physics integration while preserving reconstruction fidelity. We propose a dual-representation framework combining fixed-topology meshes for physics with Gaussian splatting for rendering, achieving 4.65$\times$ speedup over varying-topology baselines through runtime vertex buffer updates. We evaluate two conversion strategies, temporal correspondence tracking and template-based projection, against native fixed-topology methods (MaGS) on the DG-Mesh dataset. Our evaluation reveals that both conversion approaches incur 65-80% geometric degradation, producing results inferior to MaGS despite DG-Mesh's superior initial quality. This demonstrates that high-quality reconstruction and physics-compatible topology represent fundamentally distinct objectives that cannot be reconciled through post-processing. Our findings inform future development of physics-aware reconstruction methods and our framework enables real-time simulation with any fixed-topology approach.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。